What is it about?
Principal component analysis is applied on a large data of soil fertlity parameters to assess the fertility status of each region in a particular district.
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Why is it important?
Use of multivariate analysis for gathering information from a large set of data has been well implemented in this work.
Perspectives
By reducing dimensionality of data set, information contained in them can be easily polished by means multivariate techniques like principal component analysis and factor analysis.
Muhsina Abdul Razack
Kerala Agricultural University
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This page is a summary of: Principal Component Analysis on Soil Fertility Parameters of Vegetable Growing Panchayats/ Locations in Ernakulam District of Kerala, International Research Journal of Pure and Applied Chemistry, July 2020, Sciencedomain International,
DOI: 10.9734/irjpac/2020/v21i1030208.
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